Yue Dai

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2021-38

May 10, 2021

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2021/EECS-2021-38.pdf

This thesis describes a scalable, highly portable, and power-efficient generator for massive multiple-input multiple output (MIMO) uplink baseband processing. This generator is written in Chisel HDL, and produces hardware instances for the distributed processing in a scalable massive MIMO system. The generator is parameterized in both the MIMO system and hardware datapath elements. The performance of several generator instances with different parameter values are validated by emulation on a field-programmable gate array (FPGA), demonstrating both functionality and scalability, and operation up to 6.4Gb/s data throughput.

Advisors: Borivoje Nikolic

---

BibTeX citation:

@mastersthesis{Dai:EECS-2021-38,
    Author= {Dai, Yue},
    Title= {A Scalable Generator of Massive MIMO Baseband Processing Systems},
    School= {EECS Department, University of California, Berkeley},
    Year= {2021},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2021/EECS-2021-38.html},
    Number= {UCB/EECS-2021-38},
    Abstract= {This thesis describes a scalable, highly portable, and power-efficient generator for massive multiple-input multiple output (MIMO) uplink baseband processing. This generator is written in Chisel HDL, and produces hardware instances for the distributed processing in a scalable massive MIMO system. The generator is parameterized in both the MIMO system and hardware datapath elements. The performance of several generator instances with different parameter values are validated by emulation on a field-programmable gate array (FPGA), demonstrating both functionality and scalability, and operation up to 6.4Gb/s data throughput.},
}

EndNote citation:

%0 Thesis
%A Dai, Yue 
%T A Scalable Generator of Massive MIMO Baseband Processing Systems
%I EECS Department, University of California, Berkeley
%D 2021
%8 May 10
%@ UCB/EECS-2021-38
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2021/EECS-2021-38.html
%F Dai:EECS-2021-38